# Tag Info

D.T Kalman filter time update equations (predict) with initial estimates for $\hat{x}_k$ and $P_{k}$ Project the state ahead: $\hat{x}^-_{k+1} = F\hat{x}_{k}+Bu_{k}$ Project the error covariance ahead: $P^-_{k+1} = FP_{k}F^T+Q$ Measurement equations (correct) Compute the Kalman gain: $K_{k+1} = P^-_{k+1}C^T(CP^-_{k+1}C^T+R)^{-1}$ Update estimate with ...